Review of Available Transfer Capability Determination with Grid Connected Hybrid Wind System using Probabilistic Collocation Method

Authors

  • Azhar Khairuddin Department of Power System, Faculty of Electrical Engineering, University Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Alhammi A. I. Department of Power System, Faculty of Electrical Engineering, University Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia

DOI:

https://doi.org/10.11113/jt.v72.4120

Keywords:

ATC computation, Probabilistic Collocation Method (PCM), transient stability, dynamic simulation, uncertainty analysis

Abstract

Any distribution system with large integration of renewable energy based dispersed generations exposed to   several difficulties clearly appeared while evaluating complex large-scale system Available Transfer Capability (ATC), where it is considered as one of the indices reflecting levels of reliability and security for power systems. This paper presents a review of ATC determination of the hybrid wind connected system using Probabilistic Collocation Method (PCM) under transient stability, voltage constraints. Applications of PCM technique in several electrical fields of power system transient-state evaluation are also debated, compared with Monte Carlo method. The first results shows the vast time saving obtained using PCM, with satisfied accuracy. The main goal of the review is to exploring different available usages of PCM technique and their corresponding suitable so that a reasonably precise and effective PCM algorithm can be determined for the concerned system, the relevant theory is outlined here, and unpretentious examples are applied to illustrate the applicability computation of ATC value implementing PCM method, as well as an example with a more credible power system, are obtainable. The feasibility of the suggested method would be validating through in the IEEE-24 RTS bus system.

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Published

2015-01-01

How to Cite

Review of Available Transfer Capability Determination with Grid Connected Hybrid Wind System using Probabilistic Collocation Method. (2015). Jurnal Teknologi (Sciences & Engineering), 72(5). https://doi.org/10.11113/jt.v72.4120